Database Learning Path: Beginner to Advanced

Database knowledge becomes much more useful when you stop learning isolated features and start understanding access paths, data modeling, and operational safety as one system.

Beginner: learn how queries and indexes really work

1. PostgreSQL Guide
2. Database Index Design Playbook
3. SQL Performance Tuning

Focus on:

• how relational engines execute queries
• why indexes help and when they hurt
• how execution plans reveal real bottlenecks

Intermediate: model data and control consistency

1. MongoDB Schema Design
2. Transaction Isolation
3. Read Replica Consistency Playbook
4. JPA N+1 Problem

Focus on:

• how modeling affects read and write cost
• how consistency expectations shape product behavior
• where ORM abstractions hide query risk

Advanced: operate change safely at scale

1. Database Partitioning
2. Zero-Downtime Schema Migration
3. Change Data Capture Pipeline Playbook
4. Schema Contracts for Data Pipelines

Focus on:

• scaling large tables without losing operability
• evolving schemas while traffic stays live
• treating events and analytical data as contract surfaces

Expected outcome

By the end of this path, you should be able to explain not only how a database query works, but how database decisions affect application latency, consistency, and change safety.

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